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Artificial neural networks for cloud masking of Sentinel-2 ocean images with noise and sunglint
Taylor & Francis Verlag | 2020| -
Convolutional neural networks for detecting challenging cases in cloud masking using Sentinel-2 imagery
Free accessSPIE | 2020| -
Data Fusion for Increasing Monitoring Capabilities of Sentinel Optical Data in Marine Environment
Free accessIEEE | 2020| -
Soil moisture estimation from Sentinel-1 interferometric observations over arid regions
Free accessArXiv | 2022| -
Convolutional neural networks for detecting challenging cases in cloud masking using Sentinel-2 imagery
British Library Conference Proceedings | 2020| -
Correcting the BRDF effects on Sentinel-2 ocean images
British Library Conference Proceedings | 2019| -
Correcting the BRDF effects on Sentinel-2 ocean images
British Library Conference Proceedings | 2019| -
Evaluation of atmospheric correction to airborne hyperspectral data relying on radiative transfer concepts
Taylor & Francis Verlag | 2013| -
De-shadowing of airborne imagery using at-sensor downwelling irradiance data
Taylor & Francis Verlag | 2014| -
Investigation of hyperspectral remote sensing for mapping asphalt road conditions
Taylor & Francis Verlag | 2011|
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